• International Commerce and Information Review
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• v.10 no.4
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• pp.221-250
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• 2008

This study investigated and analyzed the export competitiveness of Gyeonggi-Do and the effect of Korea-US FTA on its export competitiveness. By reviewing the current status of trade structure and implementing trade specialization index(TSI) of export commodities of Gyeonggi-Do, the investigation has listed the specific export commodities with competitiveness for increasing the volume of its export in the United States, in the short, mid and long run perspectives. From the findings in this study, it suggests specific trade and commercial policies to Korea-US FTA including implementing commodity-oriented export supporting system, strategic marketing method, economic-free-zone plan, R&D investment, export financing and regional economic cooperation.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.59-66
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• 2015

Purpose - The aim of the study is to analyze the impact of the European Union's (EU) focus on innovation and consumption, after the EU Eastern enlargement, on trade, investment, and technology cooperation patterns of Korea to formulate a pan-European marketing strategy, with a special emphasis on the mobile phone industry. Research design, data, and methodology - This study compares the intersection of the pivotal areas in the markets in the "post-new normal" era to identify outlets to commercialize development and innovation in this region. The EU would like to realize potential trade and investment opportunities with the Central European Economic Community (CEEC) from this enlargement. Results - The study analysis suggests a positive impact for innovation and consumption from the EU Eastern enlargement on trade, investment, and technology cooperation patterns of Korea to formulate a pan-European marketing strategy with a special emphasis on the mobile phone industry or motorcar e-strategy. Conclusions - Due to the evolving close interdependencies some hubs have emerged between regional, small markets and the central, larger ones such as Germany and France.

• Korea Trade Review
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• v.47 no.6
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• pp.377-393
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• 2022

This study aims to identify the effect of growth of the land transportation industry on economic growth and to provide implications for Korea's metropolitan region policy. The effect of each metropolitan region on the integrated region where each metropolitan region is integrated is as follows. First, The integrated region where each metropolitan region was integrated with the Southeast region and the Daegyeong region had the greatest economic growth effect due to the growth of the land transportation industry in terms of value added, but the effect of the integrated region with the Chungcheong region was the least. In the case of capital such as roads, the integrated metropolitan regions with the Chungcheong region showed the greatest economic effect. However, the impact of the integrated regions with Jeolla region and the Seoul metropolitan region is insignificant. These results suggest that the synergy effect of metropolitan regional integration by spillover effect such as networks should be considered in the land transportation industry policy.

• Korea Trade Review
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• v.46 no.2
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• pp.281-299
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• 2021

This paper analyzes the feasibility of using machine learning methods to forecast the employment. The machine learning methods, such as decision tree, artificial neural network, and ensemble models such as random forest and gradient boosting regression tree were used to forecast the employment in Busan regional economy. The following were the main findings of the comparison of their predictive abilities. First, the forecasting power of machine learning methods can predict the employment well. Second, the forecasting values for the employment by decision tree models appeared somewhat differently according to the depth of decision trees. Third, the predictive power of artificial neural network model, however, does not show the high predictive power. Fourth, the ensemble models such as random forest and gradient boosting regression tree model show the higher predictive power. Thus, since the machine learning method can accurately predict the employment, we need to improve the accuracy of forecasting employment with the use of machine learning methods.

• Acta Via Serica
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• v.8 no.2
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• pp.95-124
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• 2023

Over the past 30 years, intense archaeological research has revealed a great increase in regional and transregional object mobility across the South China Sea during its Iron Age (500 BCE to 500 CE). Some objects had moved from a long distance: intaglios, seals, fine ceramic, glass containers, and gold coins of Mediterranean origin; and large bronzes, mirrors, and lacquerware connected to central East Asia. This evidence has given rise to larger-scale explanations, among which the most prominent has been the growth of (maritime) Silk Road trade. Scholars are divided as to whether the Silk Road is a suitable concept, with some emphasizing its orientalist overtones and colonial baggage and others finding it useful for the investigation of interregional networks trading in silk and other commodities. This paper explores how productive the Silk Road concept or metaphor really is for understanding transregional connectivity and social change in Iron Age Southeast Asia.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.211-211
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• 2020

The concept of virtual water has been largely applied in the study of regional, national, and global water flows with particular emphasis on water scarcity. Despite water traditionally being managed locally, certain global forces influence the local water resource scarcity/availability and hence virtual water exchanges worldwide. It is therefore of necessity that the significant forces be examined to understand the relationship between available water in a region and the variability and trends in environmental, social, and economic factors that are of utmost importance in the formulation of water resources management policies. This study therefore reviewed recent literature from 2003 - 2019 to determine the significant indicators of virtual water trade at different spatiotemporal levels. The study examined and compared the major approaches to virtual water trade flows accounting, and also identified and discussed policy implications and future research options concerning the analysis of virtual water trade. Available information has shown that virtual water trade is significantly influenced by economic (GDP, Demand-Supply of goods and services), geographical (Distance), institutional (population) and environmental (water availability, arable land, precipitation) factors. Reports further show that the selection of a given approach for virtual water trade flows accounting will depend on the scope of the study, the available datasets, and other research preferences. Accordingly, this study suggests that the adoption of multidisciplinary approaches to virtual water trade, taking into consideration the spatial and temporal variations in water resources availability and the complexity of environmental and socioeconomic factors will be pivotal for establishing the basis for the conservation of water resources worldwide.

• Journal of the Korean Regional Science Association
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• v.15 no.1
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• pp.63-73
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• 1999

It is generally believed that there is a trade-off between economic growth and environmental quality since pollutants are generated in the process of production and consumption of commodities. Several researchers have shown this prevailing belief using the short-term input-output models. The literature, however, shows that there have been few attempts to investigate the relationship using long-term forecasting models. This motivates the current paper. This paper attempts to build a reginal growth model in a partial equilibrium framework taking into consideration the requirements of capital invested for pollutant abatement. Model is largely neoclassical. Labor is assumed to move a region with high utility specified in regional per capita average was income and pollution level while capital is partially mobile to a region with high returns. The regional growth is explored in a phase diagram. The paper shows that there are two stable growth equilibria which a region can converge over time and that the equilibria are distinguished by the initial threshold capital stock that a region holds. If the initial capital stock of a region is over(under) than the threshold size, the region converges to the higher (lower) growth equilibrium over time. Moreover, based on this result an environmental quality enhancing policy is analyzed in the phase diagram. It has revealed that the policy calls for the relocation of growth equilibrium points, specifically speaking, it stimulates an increase in labor stock and a decrease in capital stock. Hence the paper has suggested that the prevailing belief which the environmental policy negatively impacts on a regional economic growth is not always true.

• Journal of Fashion Business
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• v.19 no.1
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• pp.34-46
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• 2015

The purpose of this study was to investigate the distribution state of road shops around the 9 main fashion trade areas in Seoul, and to analyze whether there were any differences in them based on clothing, store types and regions. Furthermore, by investigating the distribution state of road shops in the 9 main fashion trade areas per year, this study provides basic information that can be helpful in opening and securing road shops in major trade areas. The method of investigation was to analyze clothing types and store types with 72 maps of commercial areas. Samsungdesignnet investigated these areas for 8 years around the 9 main fashion trade areas (Garosugil, Gangnam nonhyun, Gangnam Station, Myungdong, Moonjung, Apgujung, Yeonsinne, Edae, and Chungdam). As a result, the distribution state of the fashion road shops based on clothing types revealed that road shops for ladies' wear, bag or shoes, and total fashion were strong, and the distribution state of non brand were strong. When it came to year-to-year trends, road shops for women's wear, bag or shoes, and total fashion showed a steady increasing tendency of being on-trend, but casuals and underwear showed a falling tendency of being on-trend. In terms of store type distribution, non-brand shops showed the most remarkable growth, followed by multi-shop while total fashion store showed a steady growth. Also, when it came to regional distribution, the dominant trade areas were different based on clothing type. Garosugil showed the widest variation in its yearly trend investigation, and Gangnam station also showed a substantial amount of growth. In other areas, there was no considerable change in the total number of shops, but increasing and decreasing markets had a complexity that depended on clothing types.

• International Commerce and Information Review
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• v.19 no.2
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• pp.259-273
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• 2017

This study is a meta-analysis of the articles published over the last 18 years from the first edition of the "International Commerce and Information Review" to December 2016. 1047 papers were published in "International Commerce and Information Review" until 2016. Many articles appeared in the order of electronic trade field, product and service innovation field, regional trade information field, trade law system field, and trade negotiation field. There are more than 15 major fields of authors who have published more than 20 papers."International Commerce and Information Review" is a multi-disciplinary journal by scholars in various major fields. Most of the authors belong to universities and the proportion of papers that receive research grants is 19.7%. 46 authors have published more than 5 papers in "International Commerce and Information Review", and their H-index is 5.6. Influence Index (IF) of the "International Commerce and Information Review" in 2016 is 1.02. The main keywords of the papers published in "International Commerce and Information Review" are e-commerce, Internet, service trade, China, e-trade, Korean Wave, FTA, SME and foreign direct investment.

• International Area Studies Review
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• v.14 no.3
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• pp.477-498
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• 2010

This paper studies economic growth convergence conditioning on various characteristics of East Asian countries. Our findings suggest that when trade openness is conditioned in addition to human capital and investment, the economic growth rates for East Asian countries converge faster than when human capital and investment alone are considered. In particular, while Northeast Asian countries exhibit absolute economic growth convergence as well as economic growth convergence conditioned on trade openness, Southeast Asian countries show only economic growth convergence conditioned on trade openness. Analysis of policy implications based on the results of the first East Asian countries' high dependence on foreign trade, trade openness in the convergence of economic growth has had a significant positive effect. Second, in order to establish a regional economic integration in East Asia, Northeast Asia and Southeast Asia, the country's economic growth is necessary to reduce the gap.